Blog
FinOps, cloud cost & AI cost management
Practical guides on finding waste, proving savings and governing spend — across AWS, Azure, GCP and the AI providers.
Cloud disk tier optimization: gp3, Premium→Standard SSD and pd-balanced
Most cloud block storage runs a tier more expensive than the workload needs. A cross-cloud guide to right-tiering disks on AWS, Azure and GCP — and when not to.
The idle Redis problem: finding zero-traffic caches across AWS, GCP and Azure
Managed Redis clusters are easy to spin up and easy to forget. A guide to detecting idle ElastiCache, Memorystore and Azure Cache for Redis — and what they really cost.
Prompt caching: the easiest 30%+ cut to your LLM bill
If your prompts repeat a large system instruction or RAG preamble, you are paying full price to re-read the same tokens. How prompt caching works and when it pays off.
Right model for the job: cutting AI cost with model routing
A flagship model on a task a mini model could handle is pure waste. How to spot it, how to route safely, and why model catalogs go stale.
Unattached disks: the silent tax on your cloud bill
Detached volumes keep billing at full price while doing nothing. Why they accumulate on AWS, Azure and GCP, and how to clean them up without losing data.
Idle data warehouses: stop paying for a Redshift that nobody queries
Data warehouses are sized for peak and billed for compute they are not using between jobs. How to spot an idle warehouse and what to do about it.
Right-sizing managed databases across RDS, Cloud SQL and Azure
Managed databases are usually provisioned for a launch that never came. A cross-cloud guide to spotting underutilized RDS, Cloud SQL and Azure database instances.
Cutting Datadog cost: log exclusion and metric cardinality
Observability bills grow quietly until they rival cloud spend. The two biggest levers — indexed-log volume and custom-metric cardinality — and how to pull them.
What is FinOps? A practical guide for engineering and finance teams
FinOps is the operating model that brings engineering, finance and product together to manage cloud cost as a shared, data-driven responsibility. Here is how it works in practice.
FinOps for AI: managing OpenAI, Anthropic and Bedrock spend
AI/LLM spend is the fastest-growing, least-governed line on the cloud bill. Here is how to bring FinOps discipline to tokens, models and AI features.
Cloud rightsizing: how to do it without breaking production
Rightsizing is the highest-ROI FinOps lever — and the one teams fear most. Here is how to size from real utilization and apply changes safely.
Reserved Instances vs Savings Plans: which to buy and when
Commitments are the biggest single FinOps lever, but the wrong one locks you in. Here is how RIs, Savings Plans and CUDs differ and how to buy them well.
How to prove cloud savings (and why estimates are not enough)
Estimated savings are easy to claim and impossible to trust. Here is how to verify cloud savings against the bill so finance and engineering both believe them.
Cloud cost anomaly detection: catch spend spikes before month-end
A runaway resource or prompt regression can blow your cloud budget in days. Here is how anomaly detection catches it early and points to the cause.
Cloud cost forecasting: how to predict and budget cloud spend
Reliable cloud forecasts let finance plan and engineering stay accountable. Here is what makes a forecast trustworthy — and how to measure its accuracy.
Chargeback vs showback: making teams own their cloud cost
You cannot control what nobody owns. Chargeback and showback put cloud cost in front of the teams that drive it — here is how to choose and roll them out.
Cloud unit economics: cost per customer, per feature, per transaction
Total cloud spend tells you nothing about whether you are efficient. Unit economics — cost per customer or transaction — is the metric that connects spend to value.
Cloud tagging and cost allocation governance
Untagged resources break cost allocation, chargeback and accountability. Here is how to build a tagging policy that actually sticks.
Kubernetes cost monitoring: namespace and pod-level visibility
A Kubernetes cluster shows up as one big bill. Here is how to break it down by namespace, workload and team — and find the idle capacity you are paying for.
Safe FinOps automation: approval-gated remediation that won't break prod
Automating cloud cost fixes saves time — and terrifies engineers. Here is how to automate safely with conflict guards, approvals and verified rollback.
Find recoverable spend before the next invoice lands.
Connect one AWS, Azure or GCP scope, approve the safest savings actions, and give finance a receipt when the savings verify.